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PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
Plants synthesize a large number of natural products, many of which are bioactive and have practical values as well as commercial potential. To explore this vast structural diversity, we present PSC-db, a unique plant metabolite database aimed to categorize the diverse phytochemical space by providi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924326/ https://www.ncbi.nlm.nih.gov/pubmed/33672700 http://dx.doi.org/10.3390/molecules26041124 |
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author | Valdés-Jiménez, Alejandro Peña-Varas, Carlos Borrego-Muñoz, Paola Arrue, Lily Alegría-Arcos, Melissa Nour-Eldin, Hussam Dreyer, Ingo Nuñez-Vivanco, Gabriel Ramírez, David |
author_facet | Valdés-Jiménez, Alejandro Peña-Varas, Carlos Borrego-Muñoz, Paola Arrue, Lily Alegría-Arcos, Melissa Nour-Eldin, Hussam Dreyer, Ingo Nuñez-Vivanco, Gabriel Ramírez, David |
author_sort | Valdés-Jiménez, Alejandro |
collection | PubMed |
description | Plants synthesize a large number of natural products, many of which are bioactive and have practical values as well as commercial potential. To explore this vast structural diversity, we present PSC-db, a unique plant metabolite database aimed to categorize the diverse phytochemical space by providing 3D-structural information along with physicochemical and pharmaceutical properties of the most relevant natural products. PSC-db may be utilized, for example, in qualitative estimation of biological activities (Quantitative Structure-Activity Relationship, QSAR) or massive docking campaigns to identify new bioactive compounds, as well as potential binding sites in target proteins. PSC-db has been implemented using the open-source PostgreSQL database platform where all compounds with their complementary and calculated information (classification, redundant names, unique IDs, physicochemical properties, etc.) were hierarchically organized. The source organism for each compound, as well as its biological activities against protein targets, cell lines and different organism were also included. PSC-db is freely available for public use and is hosted at the Universidad de Talca. |
format | Online Article Text |
id | pubmed-7924326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79243262021-03-03 PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds Valdés-Jiménez, Alejandro Peña-Varas, Carlos Borrego-Muñoz, Paola Arrue, Lily Alegría-Arcos, Melissa Nour-Eldin, Hussam Dreyer, Ingo Nuñez-Vivanco, Gabriel Ramírez, David Molecules Article Plants synthesize a large number of natural products, many of which are bioactive and have practical values as well as commercial potential. To explore this vast structural diversity, we present PSC-db, a unique plant metabolite database aimed to categorize the diverse phytochemical space by providing 3D-structural information along with physicochemical and pharmaceutical properties of the most relevant natural products. PSC-db may be utilized, for example, in qualitative estimation of biological activities (Quantitative Structure-Activity Relationship, QSAR) or massive docking campaigns to identify new bioactive compounds, as well as potential binding sites in target proteins. PSC-db has been implemented using the open-source PostgreSQL database platform where all compounds with their complementary and calculated information (classification, redundant names, unique IDs, physicochemical properties, etc.) were hierarchically organized. The source organism for each compound, as well as its biological activities against protein targets, cell lines and different organism were also included. PSC-db is freely available for public use and is hosted at the Universidad de Talca. MDPI 2021-02-20 /pmc/articles/PMC7924326/ /pubmed/33672700 http://dx.doi.org/10.3390/molecules26041124 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Valdés-Jiménez, Alejandro Peña-Varas, Carlos Borrego-Muñoz, Paola Arrue, Lily Alegría-Arcos, Melissa Nour-Eldin, Hussam Dreyer, Ingo Nuñez-Vivanco, Gabriel Ramírez, David PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds |
title | PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds |
title_full | PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds |
title_fullStr | PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds |
title_full_unstemmed | PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds |
title_short | PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds |
title_sort | psc-db: a structured and searchable 3d-database for plant secondary compounds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924326/ https://www.ncbi.nlm.nih.gov/pubmed/33672700 http://dx.doi.org/10.3390/molecules26041124 |
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